TreeWAS – [Z47.9] Orthopaedic follow-up care, unspecified

Variant effects

Click on a variant to see its association results.

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.590	0.410	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.534	0.466	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.522	0.478	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.520	0.480	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.505	0.495	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.463	0.537	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.451	0.549	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.447	0.553	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.435	0.565	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.416	0.584	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.415	0.585	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.399	0.600	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.359	0.641	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.346	0.653	0.001
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.323	0.676	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.319	0.681	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.313	0.687	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.312	0.687	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.308	0.692	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.303	0.697	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.270	0.729	0.001
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.261	0.739	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.260	0.740	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.250	0.750	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.233	0.767	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.231	0.769	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.219	0.781	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.219	0.781	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.217	0.783	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.209	0.790	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.170	0.830	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.161	0.839	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.160	0.840	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.141	0.859	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.130	0.870	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.126	0.874	0.000
rs4253772 lBF = `0.312741` Chr`22` : `46,627,603`	0.125	0.875	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.112	0.888	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.077	0.923	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.073	0.927	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.067	0.933	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.060	0.940	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.051	0.949	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.051	0.949	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.048	0.952	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.045	0.955	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.029	0.971	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.028	0.972	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.024	0.975	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.023	0.977	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.023	0.977	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.016	0.984	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.014	0.986	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.013	0.987	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.013	0.987	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.013	0.987	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.012	0.988	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.012	0.988	0.000
rs2018293 lBF = `-0.026998` Chr`22` : `26,704,561`	0.000	0.989	0.011
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.008	0.991	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.008	0.992	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.007	0.993	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.006	0.994	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.005	0.995	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.005	0.995	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.005	0.995	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.005	0.995	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.005	0.995	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.003	0.997	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.003	0.997	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.002	0.997	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.002	0.998	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.002	0.998	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.002	0.998	0.000
rs1476029 lBF = `0.106987` Chr`22` : `36,517,932`	0.001	0.998	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.001	0.999	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs183544847 lBF = `0` Chr`22` : `38,991,553`	0.001	0.999	0.001
rs1137256 lBF = `0` Chr`22` : `42,968,514`	0.001	0.999	0.001
rs182382461 lBF = `0` Chr`22` : `22,358,941`	0.001	0.999	0.001
rs149157446 lBF = `0` Chr`22` : `44,305,574`	0.001	0.999	0.001
rs79384503 lBF = `0` Chr`22` : `22,047,969`	0.001	0.999	0.001
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	0.999	0.001
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.001	0.999	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.001
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.001	0.999	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.000	0.999	0.000
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	0.999	0.001
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.000	0.999	0.001
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.001	0.999	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	0.999	0.001
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.001	0.999	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.001	0.999	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.001	0.999	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.001	0.999	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	0.999	0.001
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.001	0.999	0.000
rs8135828 lBF = `1.77947` Chr`22` : `29,929,239`	0.001	0.999	0.000
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.001	0.999	0.000
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.000	0.999	0.001
rs228916 lBF = `-0.0565967` Chr`22` : `37,505,552`	0.001	0.999	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.000	0.999	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.000	0.999	0.001
rs4824093 lBF = `-0.0530357` Chr`22` : `50,128,268`	0.001	0.999	0.000
rs2023634 lBF = `-0.0584025` Chr`22` : `18,972,450`	0.001	0.999	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.001	0.999	0.000
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	0.999	0.001
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.000	0.999	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.000	0.999	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.000	0.999	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.000	0.999	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	0.999	0.001
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.001	0.999	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	0.999	0.000
rs5752326 lBF = `-0.0295582` Chr`22` : `26,843,990`	0.000	0.999	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.001	0.999	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	0.999	0.001
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	0.999	0.001
rs7286472 lBF = `0.337432` Chr`22` : `34,386,473`	0.000	0.999	0.000
rs12530 lBF = `0.291577` Chr`22` : `32,783,904`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	0.999	0.000
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.000	0.999	0.001
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.000	0.999	0.000
rs144960271 lBF = `-0.0210795` Chr`22` : `41,389,785`	0.000	0.999	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.000	0.999	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	0.999	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	0.999	0.000
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.000	0.999	0.000
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.000	0.999	0.000
rs5763767 lBF = `4.40784` Chr`22` : `30,493,882`	0.000	0.999	0.000
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.000	0.999	0.000
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.000	0.999	0.000
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	0.000	0.999	0.000
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.000	0.999	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	0.999	0.000
rs1058172 lBF = `-0.0294819` Chr`22` : `42,523,528`	0.000	0.999	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	1.000	0.000
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.000	1.000	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.000	1.000	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	1.000	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	1.000	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.000	1.000	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	1.000	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	1.000	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.000	1.000	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.000	1.000	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.000	1.000	0.000
rs35532491 lBF = `-0.0102996` Chr`22` : `34,329,603`	0.000	1.000	0.000
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.000	1.000	0.000
rs144073979 lBF = `-0.0402635` Chr`22` : `18,886,814`	0.000	1.000	0.000
rs7290192 lBF = `-0.0428414` Chr`22` : `49,318,526`	0.000	1.000	0.000
rs2540647 lBF = `-0.0639362` Chr`22` : `18,966,617`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs62228064 lBF = `63.223` Chr`22` : `46,381,414`	0.000	1.000	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	1.000	0.000
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs9608102 lBF = `-0.00002127` Chr`22` : `23,644,794`	0.000	1.000	0.000
rs11089637 lBF = `-0.0390982` Chr`22` : `21,979,096`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs5748415 lBF = `6.07569` Chr`22` : `19,729,424`	0.000	1.000	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	1.000	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	1.000	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	1.000	0.000
rs4821261 lBF = `-0.00859297` Chr`22` : `34,941,576`	0.000	1.000	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs111383589 lBF = `-0.0262582` Chr`22` : `31,438,361`	0.000	1.000	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	1.000	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	1.000	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs5746647 lBF = `0.0115385` Chr`22` : `17,057,138`	0.000	1.000	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.000	1.000	0.000
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.000	1.000	0.000
rs971768 lBF = `-0.00299327` Chr`22` : `17,597,462`	0.000	1.000	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.000	1.000	0.000
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.000	1.000	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	1.000	0.000
rs4821469 lBF = `-0.0629789` Chr`22` : `36,616,445`	0.000	1.000	0.000
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.000	1.000	0.000
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	0.000	1.000	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	1.000	0.000
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.000	1.000	0.000
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.000	1.000	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	1.000	0.000
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.000	1.000	0.000
rs4820255 lBF = `0.00867412` Chr`22` : `37,209,296`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	1.000	0.000
rs4820834 lBF = `-0.00955864` Chr`22` : `30,751,627`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
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rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	0.000	1.000	0.000
rs1076540 lBF = `0.248355` Chr`22` : `18,439,958`	0.000	1.000	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	1.000	0.000
rs8135665 lBF = `0.181541` Chr`22` : `38,476,276`	0.000	1.000	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	1.000	0.000
rs10084630 lBF = `0.0339975` Chr`22` : `37,679,487`	0.000	1.000	0.000
rs138880 lBF = `0.0149815` Chr`22` : `50,218,611`	0.000	1.000	0.000
rs400946 lBF = `-0.011503` Chr`22` : `21,431,054`	0.000	1.000	0.000
rs4417 lBF = `-0.0253634` Chr`22` : `27,416,825`	0.000	1.000	0.000
rs1043099 lBF = `-0.0365254` Chr`22` : `30,681,257`	0.000	1.000	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	1.000	0.000
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.000	1.000	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.000	1.000	0.000
rs11704416 lBF = `-0.10001` Chr`22` : `40,436,973`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.000	1.000	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	1.000	0.000
rs909685 lBF = `1.33857` Chr`22` : `39,747,671`	0.000	1.000	0.000
rs2069235 lBF = `1.31802` Chr`22` : `39,747,780`	0.000	1.000	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	1.000	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.000	1.000	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	1.000	0.000
rs75347843 lBF = `0.370509` Chr`22` : `51,112,361`	0.000	1.000	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	1.000	0.000
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	0.000	1.000	0.000
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.000	1.000	0.000
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.000	1.000	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	0.000	1.000	0.000
rs2277844 lBF = `0.0787746` Chr`22` : `38,577,515`	0.000	1.000	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs3218251 lBF = `0.00957024` Chr`22` : `37,545,505`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	1.000	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	1.000	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs9627735 lBF = `-0.0269147` Chr`22` : `49,842,289`	0.000	1.000	0.000
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	1.000	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	1.000	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	1.000	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	1.000	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	1.000	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs4141404 lBF = `-0.0780888` Chr`22` : `31,675,185`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	1.000	0.000
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.000	1.000	0.000
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	0.000	1.000	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.000	1.000	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	1.000	0.000
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	1.000	0.000
rs738722 lBF = `0.135046` Chr`22` : `29,130,012`	0.000	1.000	0.000
rs1033667 lBF = `0.118625` Chr`22` : `29,130,300`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	0.000	1.000	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	1.000	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	1.000	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	1.000	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.000	1.000	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	1.000	0.000

This table lists the top 491 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5251

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.2783

Cluster X0312

log Bayes Factor = 35.9944

contains 2 variants

0.0717

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9805

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.8754

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8348

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8119

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7883

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6912

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.6886

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6848

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.6821

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6494

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6431

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6367

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6295

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6232

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6208

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6165

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5969

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5818

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5808

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5799

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5655

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5655

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5629

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5509

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5501

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5487

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5476

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.5459

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5405

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5347

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5330

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5062

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5024

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4897

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4822

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4807

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4772

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4481

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4475

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4427

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4413

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4347

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4291

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4275

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4247

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4089

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4086

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4076

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4066

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3967

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3794

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3752

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3715

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3662

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.3657

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3643

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3610

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3550

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3517

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3500

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3397

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3361

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3354

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3322

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3269

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3217

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3178

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3086

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3044

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3036

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2966

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2874

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2864

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.2782

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2562

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2536

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2533

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2526

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.2476

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2466

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2458

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2458

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2447

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2436

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2403

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.2400

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.2359

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2357

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2305

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2281

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2243

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2237

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2193

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2169

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2123

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2120

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.2097

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2093

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.2071

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2056

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2026

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.2007

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1993

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1967

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.1893

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1890

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1851

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1815

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.1815

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1760

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1735

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1666

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1661

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1562

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1553

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1531

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1526

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1518

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1517

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1502

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1465

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1459

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1433

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1433

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1421

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1402

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1385

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1351

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1321

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1307

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1300

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1294

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1284

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1272

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1271

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1271

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1256

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1228

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1228

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1225

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1141

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1103

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1073

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0958

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0914

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0856

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.0854

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0832

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0715

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0696

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0632

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0501

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)